| Pryce, John  ORCID: https://orcid.org/0000-0003-1702-7624 and Nedialkov, Nedialko S.
      2020.
      
      Multibody dynamics in natural coordinates through automatic differentiation and high-index DAE solving.
      Acta Cybernetica
      24
      
        (3)
      
      
      
      10.14232/ACTACYB.24.3.2020.4 | 
| ![NedialkovPryce-SWIM2018_R2.pdf [thumbnail of NedialkovPryce-SWIM2018_R2.pdf]](https://orca.cardiff.ac.uk/style/images/fileicons/application_pdf.png) | PDF
 - Accepted Post-Print Version Download (2MB) | 
Abstract
The Natural Coordinates (NCs) method for Lagrangian modelling and simulation of multi-body systems is valued for giving simple, sparse models. We describe our version of it (NPNCs) and compare with the classical ap- proach of Jalón and Bayo (JBNCs). NPNCs use the high-index differential- algebraic equation solver DAETS. Algorithmic differentiation, not symbolic algebra, forms the equations of motion from the Lagrangian. NPNCs give significantly smaller equation systems than JBNCs, at the cost of a non- constant mass matrix for fully 3D models—a minor downside in the DAETS context. A 2D and a 3D example are presented, with numerical results.
| Item Type: | Article | 
|---|---|
| Date Type: | Publication | 
| Status: | Published | 
| Schools: | Schools > Mathematics | 
| Date of First Compliant Deposit: | 17 October 2019 | 
| Date of Acceptance: | 27 September 2019 | 
| Last Modified: | 18 Nov 2024 01:00 | 
| URI: | https://orca.cardiff.ac.uk/id/eprint/126082 | 
Citation Data
Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
|  | Edit Item | 

 
							

 Dimensions
 Dimensions Dimensions
 Dimensions